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An improved particle swarm optimization for optimal configuration of standalone photovoltaic scheme components

open access: yesEnergy Science & Engineering, 2022
The hybrid energy system design problem needs efficacy tools to reach optimal results in remote areas. The metaheuristic optimization methods are the best choice to address complex problems.
Hao Liu   +3 more
doaj   +2 more sources

A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization [PDF]

open access: yesBMC Bioinformatics, 2019
Background Gene selection is one of the critical steps in the course of the classification of microarray data. Since particle swarm optimization has no complicated evolutionary operators and fewer parameters need to be adjusted, it has been used ...
Fei Han   +5 more
doaj   +2 more sources

An Adaptive Droop Control Strategy for Islanded Microgrid Based on Improved Particle Swarm Optimization

open access: yesIEEE Access, 2020
In an islanded microgrid with multiple distributed generations (DGs), the difference in line impedance may cause local voltage deviation, which leads to a series of problems such as lower power allocation accuracy and bus voltage drop under traditional ...
Liang Zhang   +4 more
doaj   +2 more sources

Application of Improved Particle Swarm Optimization for Navigation of Unmanned Surface Vehicles. [PDF]

open access: yesSensors (Basel), 2019
Multi-sensor fusion for unmanned surface vehicles (USVs) is an important issue for autonomous navigation of USVs. In this paper, an improved particle swarm optimization (PSO) is proposed for real-time autonomous navigation of a USV in real maritime ...
Xin J, Li S, Sheng J, Zhang Y, Cui Y.
europepmc   +2 more sources

A Path Planning Method for AGV Based on Improved PSO-PIO Algorithm

open access: yesJournal of Harbin University of Science and Technology, 2022
In order to solve the problem of particle swarm optimization algorithm easily falling into local optimum in global path planning, according to the related theories of particle swarm optimization algorithm and pigeon-inspired optimization algorithm, the ...
QIN Chang-li   +4 more
doaj   +1 more source

Research on Bearing Fault Diagnosis Method Based on IPSO-RVM

open access: yesJournal of Harbin University of Science and Technology, 2022
Aiming at the problems of poor classification effect of support vector machine in traditional particle swarm optimization support vector machine and inaccuracy of traditional particle swarm optimization in bearing fault diagnosis, an improved particle ...
ZHANG Han   +4 more
doaj   +1 more source

Optimal Energy Consumption Path Planning for Unmanned Aerial Vehicles Based on Improved Particle Swarm Optimization

open access: yesSustainability, 2023
In order to enhance the energy efficiency of unmanned aerial vehicles (UAVs) during flight operations in mountainous terrain, this research paper proposes an improved particle swarm optimization (PSO) algorithm-based optimal energy path planning method ...
Yiwei Na   +6 more
semanticscholar   +1 more source

A Novel Improved Particle Swarm Optimization With Long-Short Term Memory Hybrid Model for Stock Indices Forecast

open access: yesIEEE Access, 2021
Stock market volatility has a significant impact on many economic and financial activities in the world. Forecasting stock price movement plays an important role in setting an investment strategy or determining the right timing for trading.
Yi Ji, Alan Wee-Chung Liew, Lixia Yang
semanticscholar   +1 more source

Research on an Optimization Method for Injection-Production Parameters Based on an Improved Particle Swarm Optimization Algorithm

open access: yesEnergies, 2022
The optimization of injection–production parameters is an important step in the design of gas injection development schemes, but there are many influencing factors and they are difficult to determine. To solve this problem, this paper optimizes injection-
Yukun Dong   +3 more
doaj   +1 more source

Path Planning of Mobile Robots Based on an Improved Particle Swarm Optimization Algorithm

open access: yesProcesses, 2022
Aiming at disadvantages of particle swarm optimization in the path planning of mobile robots, such as low convergence accuracy and easy maturity, this paper proposes an improved particle swarm optimization algorithm based on differential evolution. First,
Qingni Yuan, Rui Sun, Xiaoyi Du
semanticscholar   +1 more source

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